- Introductions
- Class overview
- Getting R up and running
[Photo by Belinda Fewings on Unsplash]
[Photo by Belinda Fewings on Unsplash]
Poll: How are you feeling right now?
Carrie Wright (she/her)
Senior Staff Scientist, Fred Hutchinson Cancer Center
Associate, Department of Biostatistics, JHSPH
PhD in Biomedical Sciences
Email: cwright2@fredhutch.org Web: https://carriewright11.github.io
Ava Hoffman (she/her)
Senior Staff Scientist, Fred Hutchinson Cancer Center
Associate, Department of Biostatistics, JHSPH
PhD in Ecology
Email: ahoffma2@fredhutch.org Web: https://avahoffman.com
Elizabeth Humphries (she/her)
Staff Scientist, Fred Hutchinson Cancer Center
PhD in Molecular Epidemiology
Email: ehumphri@fredhutch.org
NOTE this is not her dog
Please introduce yourself on Slack!
Learning a programming language can be very intense and sometimes overwhelming.
We recommend fully diving in and minimizing other commitments to get the most out of this course.
Like learning a spoken language, programming takes practice.
Learning R has been career changing for all of us, and we want to share that!
We want you to succeed – We will get through this together!
R is a language and environment for statistical computing and graphics developed in 1991
R is both open source and open development
[source: http://www.r-project.org/]
Free (open source)
High level language designed for statistical computing
Powerful and flexible - especially for data wrangling and visualization
Extensive add-on software (packages)
Strong community

[source: https://github.com/rladies/meetup-presentations_baltimore]
Little centralized support, relies on online community and package developers
Annoying to update
Slower, and more memory intensive, than the more traditional programming languages (C, Perl, Python)
[source -School vector created by nizovatina - www.freepik.com]
What do you hope to get out of the class?
Why do you want to use R?
[Photo by Nick Fewings on Unsplash]
Materials will be uploaded the night before class. We are constantly trying to improve content! Please refresh/download materials before class.
ONLINE VIRTUAL COURSE
IN-PERSON CODE-A-THON
Deadline for arranging travel assistance is October 11!
Let us know anonymously how you’re doing with the material.
[source - Banner vector created by pch.vector - www.freepik.com]
While we do have homework assignments on the course schedule, these are strictly optional!!!
We encourage you to try the assignments, as the best way to get comfortable with any programming language is through practice.
If you can, we suggest working virtually with a large monitor or two screens.
This setup allows you to follow along on Zoom while also doing the hands-on coding.
We are collecting data about user experience with our course to learn more about how to improve the data science education experience. This data may ultimately be used for a research publication and reporting to the NIH.
Found on our website under the Resources tab: https://daseh.org/resources.html
Error messages can be scary!
We will also dedicate time today to debug any installation issues
Install the latest R version (4.4.1 (called ‘Race for your Life’) as of June 14, 2024)
More detailed instructions on the website.
RStudio is an integrated development environment (IDE) that makes it easier to work with R.
More on that soon!
🏠 Class Website - https://daseh.org/ - Logistics, resources, and help!
Image by Gerd Altmann from Pixabay